Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
Experience with aspects of cloud computing, as well as the cloud market, competitive dynamics and customer buying behavior.
Experience developing data warehousing, data lakes, batch / real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
Experience leading full-cycle enterprise data warehousing and analytics projects.
Experience with architecture design, implementing, tuning, schema design and query optimization of distributed systems.
Experience in understanding customer requirements with the ability to handle requirements and design technical architectures.